Bringing the biological ground truth to AI.

CODEBREAKER LABS is pioneering Causal Genomics—empirically mapping the real-world effects of genetic variants at scale. Associations whisper. Causation speaks.

We’re not just interpreting biology, we’re programming it—building the foundation for AI that transforms medicine and accelerates breakthroughs in human health.

Our Platform: causal genomics at scale

A new category of data for training and ground-truthing of foundational AI.

At Codebreaker, we’re building the world’s largest dataset of causal variant effects on human cell behavior. Our proprietary synthetic biology platform programs cells with 10,000s of genomic variants in parallel—then uses single-cell assays to generate 10s of millions of phenotypic fingerprints in relevant cell types (e.g. primary cells). This unlocks a molecular-level view of how genetic variation actually alters function, in real time.

The result? A continuously expanding Codex of experimentally validated variant profiles—a compounding dataset designed to train AI not just to recognize patterns, but to understand cause and effect.

Our story

Codebreaker was born from two enduring frustrations—one scientific, one deeply human.

For decades, our founders pioneered breakthroughs in genome engineering, synthetic biology, and functional genomics. They built platforms to program biology at scale—yet always encountered the same obstacle: sequencing was abundant, but the overwhelming majority of genomic variants remained uninterpretable. The complexity of the genome consistently outpaced our ability to map function.

That gap carried real human costs. In clinics, we watched families wait months or years—sometimes forever—for answers hidden in genetic data. Whole genome sequencing promised clarity, but too often delivered uncertainty instead of solutions.

So we asked: What if we could directly generate biological ground truth data at scale?

Codebreaker exists to answer that question, because now we can.

OUR TEAM

  • Ryan T. Gill

    Co-Founder and CEO

    Ryan Gill is a pioneer in programmable biology with more than 25 years at the forefront of genome engineering. He co-founded and led Inscripta, first as founding CEO and later as CSO, where he helped grow the company into a global leader in CRISPR-based platforms. As CEO of Artisan Biosciences, he guided the company through five years of successful collaborations with leading biopharma partners.

    Across these ventures, Ryan helped develop some of the most widely recognized tools for editing and understanding the human genome. He is the author of over 200 publications and patents and has built internationally respected academic programs in synthetic biology.

    Today, his combined scientific and executive leadership anchors Codebreaker’s mission to turn genomic complexity into clinical and therapeutic clarity.

  • Tanya Warnecke-Gill

    Co-Founder and CTO

    Tanya Warnecke-Gill is a multi-time founder and technology leader who has spent her career building platforms at the forefront of genome engineering. As CTO at Inscripta and Artisan Biosciences, she helped pioneer award-winning CRISPR technologies and translate breakthrough concepts into scalable, real-world platforms.

    She is the inventor on dozens of patents and has consistently driven the translation of novel genome engineering methods into protected, commercially viable technologies. At Codebreaker, Tanya leads development of the company’s causal genomics platform, ensuring it delivers the scale, precision, and impact needed to transform genomic medicine.

    With 35+ patents and a deep track record in productizing genomic innovation, Tanya brings the technical vision and executional rigor that power Codebreaker’s synthetic biology engine. She leads the development of the Codex platform, ensuring it is built for scale, precision, and lasting impact.

  • Ryan Layer

    Co-Founder and Chief Data Advisor

    As a computational biologist and professor with appointments in Computer Science and the BioFrontiers Institute at the University of Colorado, Ryan brings the AI and data science leadership necessary to extract meaning from the complexity of genomic data.
    He is a recognized expert in variant interpretation, large-scale sequencing, and functional annotation, having developed foundational tools used across clinical genomics. Ryan leads the development of Codebreaker’s AI models, ensuring they are grounded not just in computation—but in experimentally validated biological truth.

  • Advisors

    Codebreaker is guided by a world-class advisory group of scientific, clinical, and industry leaders. From pioneers in synthetic biology, functional genomics, and human genetics to executives who have scaled global biopharma organizations, our advisors bring unmatched expertise in translating breakthrough science into real-world impact. Their collective experience ensures that Codebreaker’s causal genomics platform is built with both scientific rigor and clinical relevance.

Interested in collaborating? We are actively filling our Codex Pioneers Program (Arlington AI: Codex and CDS) and looking for collaborators with an interest in functional variant data for building superior AI.